Results 51 to 60 of about 1,588,862 (288)
Classification of VLF/LF Lightning Signals Using Sensors and Deep Learning Methods
Lightning waveform plays an important role in lightning observation, location, and lightning disaster investigation. Based on a large amount of lightning waveform data provided by existing real-time very low frequency/low frequency (VLF/LF) lightning ...
Jiaquan Wang +8 more
doaj +1 more source
Real-time Cardiac Massage Assessment Based on One-dimensional Convolutional Neural Network [PDF]
For the assessment of the acceleration waveform of the external cardiac massage,the existing methods of calculating the depth of cardiac massage using the acceleration waveform integral have the problems of integral drift and error accumulation.On the ...
YIN Jiahao, LIU Shijie, BAO Yu, YANG Xuan, ZHU Ziwei
doaj +1 more source
European Community Multi-Center Trial "Fetal ECG Analysis During Labor": ST plus CTG analysis [PDF]
This report form part of the European Community Multi-Center Trial "Fetal ECG Analysis during Labor". Aim of this prospective trial was to identify changes in the fetal ECG waveform with cases of verified fetal hypoxia.
Erkkola, Rhisto +5 more
core +1 more source
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner +14 more
wiley +1 more source
A MFR Work Modes Recognition Method Based on Dual-Scale Feature Extraction
Multi-function radar (MFR) work modes recognition is an important research component of the electronic reconnaissance field. When facing MFR systems equipped with complex mode-waveform mapping relationships and flexible beam scanning techniques, the ...
Zhiyuan Li +5 more
doaj +1 more source
Waveform Modelling for the Laser Interferometer Space Antenna [PDF]
LISA, the Laser Interferometer Space Antenna, will usher in a new era ingravitational-wave astronomy. As the first anticipated space-basedgravitational-wave detector, it will expand our view to the millihertzgravitational-wave sky, where a spectacular ...
Witek, H. +104 more
core +1 more source
Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand +13 more
wiley +1 more source
Historical Foundation and Practical Guideline for Ferroelectric Switching Kinetic Studies
The P and U pulses in the conventional PUND measurements are not identical because of the interplay between switching current and the measurement circuit components. This circuit effect can lead to a shift in polarization transients and misinterpreted physics in the switching kinetics.
Yi Liang, Pat Kezer, John T. Heron
wiley +1 more source
ObjectiveTo improve the efficiency and accuracy of videonystagmography calibration test results while enabling effective recognition of saccadic undershoot waveform by developing a dual-stream architecture-based deep learning model.
Xu LUO +4 more
doaj +1 more source
Unknown Radar Waveform Recognition Based on Transferred Deep Learning
Radar signals are emerging constantly for urgent task because of its complex patterns and rich working modes. For some radar waveforms with known modulation methods, they can be identified by correlation between radar prior knowledge and the received ...
Anni Lin +4 more
doaj +1 more source

